BIGFOOT - BigData Analytics of Digital Footprints

BigFoot addresses some of the most vital issues related to the deployment of large-scale data analytic technologies and innovative analytics-as-a-service business models.

Data interaction is hard. Current approaches lack an integrated interface to inspect and query (processed) data. Moreover, not much work has been done on the literature to optimize the efficiency, and not only the performance, of interactive queries that operate on batch processed data.

Parallel algorithm design is hard. While the design of parallel algorithms is already a difficult topic per se, current systems make the implementation of even simple jobs a tedious and exhausting experience.

Deployment tools are poor. Management tools are still in their infancy and target solely \bare metal" clusters.

Impact of virtualization. The effects of compute and network virtualization on the performance of data-intensive services has been largely overlooked in the literature and available solutions.

Lack of optimizations. Current systems entrust users with the task of optimizing their queries and algorithms. Moreover, dataflow and storage mechanisms are data-processing oblivious", which leave room for several optimizations that have not been addressed by current solutions.

How will your solution/service benefit the end-user?

A platform-as-a-service solution for processing and interacting with large volumes of data. Bigfoot builds upon and contributes to the apache hadoop ecosystem and the apache openstack project.